Machine Learning Engineer

Booz Allen Hamilton
Remote / Hybrid / Onsite2026-03-27Full time

About the job

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You’ll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define AI strategy for national security.

Responsibilities

No responsibilities listed.

Qualifications

Minimum

3+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying MLE models

3+ years of experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch

Experience with developing code using a common programming language, including Python, C++, Rust, or Java

Experience with deep learning, computer vision, or generative AI

Experience with supervised and unsupervised learning

Experience with data handling and model development

Ability to solve client issues and problems

Secret clearance

Bachelor's degree

Preferred

Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph

Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis

Ability to create software for retrieving, parsing, and processing structured and unstructured data

Master's degree